UT Dallas Computer Science professors and their PhD students, working in the area of intelligent systems, published sixteen papers in three of the most prestigious conferences in artificial intelligence: (i) six papers in the 30thAAAI (Association for the Advancement of Artificial Intelligence) 2016 Conference on Artificial Intelligeance, (ii) four papers in the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), and (iii) six papers in the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015). These UT Dallas professors included Drs. Vibhav Gogate, Latifur Khan, Yang Liu, Vincent Ng, Nicholas Ruozzi, and Haim Schweitzer. All three conferences are extremely selective in accepting research papers and each paper submitted to the conference is rigorously peer-reviewed by multiple experts.

The CS Department at UT Dallas has a large group of faculty members focused on research in intelligent systems. Several of the faculty members conduct their research under the umbrella of the Institute for Human Language and Technology (HLT) directed by Dr. Sanda Harabagiu. Ares of interest within intelligent systems include natural language processing, machine learning, speech processing, computer vision, automatic question-answering and automated reasoning.

The Association for the Advancement of Artificial Intelligence (AAAI) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. The mission of the AAAI conference is to promote theoretical and applied AI research as well as intellectual interchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines.

The following is a list of papers authored by UT Dallas faculty members that appeared in the AAAI Conference:

The 29th Annual Conference on Neural Information Processing Systems (NIPS 2015) took place in Montréal, Canada, from December 7th to 12th. The Neural Information Processing Systems Foundation is a nonprofit corporation whose purpose is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. Neural information processing is a field that benefits from combining these disciplines into computational sciences. Sponsors of the event included Adobe, Alibaba Group, Amazon, Apple, Artificial Intelligence Journal (AIJ), Disney Research, Facebook, Google, IBM Research, Microsoft, Netflix, Oracle, and Twitter.

The conference included 6 invited talks, 38 workshops, demo and poster sessions, and 403 accepted papers, selected from a total of 1838 submissions considered by the program committee. Among the papers accepted by the NIPS 2015 conference, several were submitted by UT Dallas faculty members Drs. Vibhav Gogate, Nicholas Ruozzi, and their PhD students. Papers presented at the NIPS 2015 conference appeared in “Advances in Neural Information Processing 28,” edited by Daniel D. Lee, Masashi Sugiyama, Corinna Cortes, Neil Lawrence, and Roman Garnett.

UT Dallas researchers also published multiple papers in the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015). The annual meeting of the ACL is devoted to “substantial, original, and unpublished research in all aspects of automated language processing.” The conference was held in Beijing, China, from July 26th through August 31st. The conference was sponsored by multiple companies including Google, Facebook, Microsoft, IBM, and Amazon.com.

The following is a list of papers authored by UT Dallas faculty members and their PhD students:

AbouttheUT DallasComputer ScienceDepartment

The UT Dallas Computer Science program is one of the largest Computer Science departments in the United States with over 1,600 bachelor’s-degree students, more than 1,100 master’s students, 160 PhD students, and 80 faculty members, as of Fall 2015. With The University of Texas at Dallas’ unique history of starting as a graduate institution first, the CS Department is built on a legacy of valuing innovative research and providing advanced training for software engineers and computer scientists.